The Effect of Urban Form on PM2.5 Concentration: Evidence from China's 340 Prefecture-Level Cities
文献类型:期刊论文
作者 | Liu, Ying2; He, Lijie1; Qin, Wenmin3; Lin, Aiwen4; Yang, Yanzhao2 |
刊名 | REMOTE SENSING
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出版日期 | 2022 |
卷号 | 14期号:1页码:19 |
关键词 | urban form PM2 5 landscape metrics geographically weighted regression |
DOI | 10.3390/rs14010007 |
通讯作者 | Yang, Yanzhao(yangyz@igsnrr.ac.cn) |
英文摘要 | Exploring how urban form affects the Particulate Matter 2.5 (PM2.5) concentration could help to find environmentally friendly urbanization. According to the definition of geography, this paper constructs a comprehensive urban form evaluation index system applicable to many aspects. Four urban form metrics, as well as road density and five control variables are selected. Based on 2015 data on China's 340 prefecture-level cities, the spatial regression model and geographically weighted regression model were used to explore the relationship between the urban form evaluation index system and PM2.5 pollution. The main results show that the spatial distribution of PM2.5 in China follows an increasing trend from northwest to southeast. Urban form indicators such as AI, LPI, PLAND, LSI and road density were all significantly related to PM2.5 concentrations. More compact urban construction, lower fragmentation of urban land, and lower density of the road network are conducive factors for improving air quality conditions. In addition, affected by seasonal changes, the correlation between urban form and PM2.5 concentration in spring and winter is higher than that in summer and winter. This study confirmed that a reasonable urban planning strategies are very important for improving air quality. |
WOS关键词 | PARTICULATE MATTER PM2.5 ; CARBON-DIOXIDE EMISSIONS ; AMBIENT AIR-POLLUTION ; ANTHROPOGENIC FACTORS ; SPATIAL REGRESSION ; HAZE POLLUTION ; HEALTH-RISK ; URBANIZATION ; IMPACTS ; QUALITY |
资助项目 | Strategic Priority Research Program of the Chinese Academy of Sciences[XDA20010201] |
WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
语种 | 英语 |
WOS记录号 | WOS:000741690900001 |
出版者 | MDPI |
资助机构 | Strategic Priority Research Program of the Chinese Academy of Sciences |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/169546] ![]() |
专题 | 中国科学院地理科学与资源研究所 |
通讯作者 | Yang, Yanzhao |
作者单位 | 1.Huazhong Agr Univ, Coll Publ Adm, Wuhan 430079, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 3.China Univ Geosci, Sch Geog & Informat Engn, Wuhan 430079, Peoples R China 4.Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Peoples R China |
推荐引用方式 GB/T 7714 | Liu, Ying,He, Lijie,Qin, Wenmin,et al. The Effect of Urban Form on PM2.5 Concentration: Evidence from China's 340 Prefecture-Level Cities[J]. REMOTE SENSING,2022,14(1):19. |
APA | Liu, Ying,He, Lijie,Qin, Wenmin,Lin, Aiwen,&Yang, Yanzhao.(2022).The Effect of Urban Form on PM2.5 Concentration: Evidence from China's 340 Prefecture-Level Cities.REMOTE SENSING,14(1),19. |
MLA | Liu, Ying,et al."The Effect of Urban Form on PM2.5 Concentration: Evidence from China's 340 Prefecture-Level Cities".REMOTE SENSING 14.1(2022):19. |
入库方式: OAI收割
来源:地理科学与资源研究所
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